Evidence map›Paper›PMID 41084606›Full record

ArticleInnovation (Cambridge (Mass.))2025

Global excess deaths associated with heatwaves in 2023 and the contribution of human-induced climate change.

Samuel Hundessa, Wenzhong Huang, Rongbin Xu, Zhengyu Yang, Qi Zhao, Antonio Gasparrini, Ben Armstrong, Michelle L Bell, Veronika Huber, Aleš Urban and 16 more

Abstract read
In one paragraph

Article in Innovation (Cambridge (Mass.)), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

26 authors.

Samuel HundessaClimate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
Wenzhong HuangClimate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
Rongbin XuClimate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
Zhengyu YangClimate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
Qi ZhaoDepartment of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.
Antonio GasparriniEnvironment & Health Modelling (EHM) Lab, Department of Public Health Environments and Society, London School of Hygiene & Tropical Medicine, London, UK.
Ben ArmstrongDepartment of Public Health Environments and Society, London School of Hygiene & Tropical Medicine, London, UK.
Michelle L BellSchool of the Environment, Yale University, New Haven, CT, USA.
Veronika HuberDoñana Biological Station (EBD), Spanish National Research Council (CSIC), Sevilla, Spain.
Aleš UrbanInstitute of Atmospheric Physics of the Czech Academy of Sciences, Prague, Czech Republic.
Micheline CoelhoDepartment of Pathology, Faculty of Medicine, University of São Paulo, São Paulo, Brazil.
Francesco SeraDepartment of Statistics, Computer Science and Applications "G. Parenti," University of Florence, Florence, Italy.
Shilu TongNational Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Dominic RoyéBiological Mision of Galicia (MBG) - Spanish Council for Scientific Research (CSIC) , Spain.
Jan KyselýInstitute of Atmospheric Physics of the Czech Academy of Sciences, Prague, Czech Republic.
Francesca de'DonatoDepartment of Epidemiology, Lazio Regional Health Service, Rome, Italy.
Malcolm MistryEnvironment & Health Modelling (EHM) Lab, Department of Public Health Environments and Society, London School of Hygiene & Tropical Medicine, London, UK.
Aurelio TobiasInstitute of Environmental Assessment and Water Research (IDAEA), Spanish Council for Scientific Research (CSIC), Barcelona, Spain.
Carmen ÍñiguezSpanish Consortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiology and Public Health-CIBERESP), Madrid, Spain.
Martina S RagettliSwiss Tropical and Public Health Institute, Allschwill, Switzerland.
Simon HalesDepartment of Public Health, University of Otago, Wellington, New Zealand.
Souzana AchilleosDepartment of Primary Care and Population Health, University of Nicosia Medical School, Nicosia, Cyprus.
Jochem KlompmakerRIVM National Institute for Public Health and the Environment, Bilthoven, Utrecht, the Netherlands.
Shanshan LiClimate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
Yuming GuoClimate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
Multi-Country Multi-City Collaborative Research Network

Funding

Medical Research Council MR/V034162/1
6 · The paper itself

Abstract

An unprecedented heatwave swept the globe in 2023, marking it one of the hottest years on record and raising concerns about its health impacts. However, a comprehensive assessment of the heatwave-related mortality and its attribution to human-induced climate change remains lacking. We aim to address this gap by analyzing high-resolution climate and mortality data from 2,013 locations across 67 countries/territories using a three-stage modeling approach. First, we estimated historical heatwave-mortality associations using a quasi-Poisson regression model with distributed lag structures, considering lag effects, seasonality, and within-week variations. Second, we pooled the estimates in meta-regression, accounting for spatial heterogeneity and potential changes in heatwave-mortality associations over time. Third, we predicted grid-specific (0.5 0.5) association in 2023 and calculated the heatwave-related excess deaths, death ratio, and death rate per million people. Attribution analysis was conducted by comparing heatwave-related mortality under factual and counterfactual climate scenarios. We estimated 178,486 excess deaths (95% empirical confidence interval [eCI], 159,892≥204,147) related to the 2023 heatwave, accounting for 0.73% of global deaths, corresponding to 23 deaths per million people. The highest mortality rates occurred in Southern (120, 95% eCI, 116≥126), Eastern (107, 95% eCI, 100≥114), and Western Europe (66, 95% eCI, 62≥70), where the excess death ratio was also higher. Notably, 54.29% (95% eCI, 45.71%≥61.36%) of the global heatwave-related deaths were attributable to human-induced climate change. These results underscore the urgent need for adaptive public health interventions and climate mitigation strategies to reduce future mortality burdens in the context of increasing global warming.

Identifiers

PMID41084606
PMCPMC7618246

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.